An analysis of expert knowledge transmission using machine translation services

Hiroshi Suzuki, Reiko Hishiyama

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)

    Abstract

    Due to globalization, there is an increase in not only the use of machine translation services but also in the risk of failure to transfer. This risk becomes particularly significant if users are transmitting their country's specific knowledge and know-how to exchange cultural information with users in other countries. To mitigate this risk, it is necessary for users to adapt to the translation services in order to improve the translation's accuracy. Thus, in this study we focused on the transmission effect of sharing technical knowledge with a user having a different mother tongue (Chinese) by using a machine translation service. We performed experiments simulating expert knowledge transmission classes and tasks with a system consisting of multilingual chats and a corpus of terminologies. Our evaluation of the transmission reveals how the Chinese knowledge receiver could have learned depending on the pattern of organizational structure and the level of detail of the information. We also found that the use of symbols and numbers was effective. After these simulations and evaluation, we were able to propose how to more effectively use machine translation in the transmission of technical knowledge.

    Original languageEnglish
    Title of host publicationProceedings of the 7th Symposium on Information and Communication Technology, SoICT 2016
    PublisherAssociation for Computing Machinery
    Pages352-359
    Number of pages8
    Volume08-09-December-2016
    ISBN (Electronic)9781450348157
    DOIs
    Publication statusPublished - 2016 Dec 8
    Event7th Symposium on Information and Communication Technology, SoICT 2016 - Ho Chi Minh, Viet Nam
    Duration: 2016 Dec 82016 Dec 9

    Other

    Other7th Symposium on Information and Communication Technology, SoICT 2016
    CountryViet Nam
    CityHo Chi Minh
    Period16/12/816/12/9

    Fingerprint

    Terminology
    Experiments

    Keywords

    • Knowledge transmission
    • Language grid
    • Machine translation services
    • Multilingual communication

    ASJC Scopus subject areas

    • Human-Computer Interaction
    • Computer Networks and Communications
    • Computer Vision and Pattern Recognition
    • Software

    Cite this

    Suzuki, H., & Hishiyama, R. (2016). An analysis of expert knowledge transmission using machine translation services. In Proceedings of the 7th Symposium on Information and Communication Technology, SoICT 2016 (Vol. 08-09-December-2016, pp. 352-359). Association for Computing Machinery. https://doi.org/10.1145/3011077.3011085

    An analysis of expert knowledge transmission using machine translation services. / Suzuki, Hiroshi; Hishiyama, Reiko.

    Proceedings of the 7th Symposium on Information and Communication Technology, SoICT 2016. Vol. 08-09-December-2016 Association for Computing Machinery, 2016. p. 352-359.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Suzuki, H & Hishiyama, R 2016, An analysis of expert knowledge transmission using machine translation services. in Proceedings of the 7th Symposium on Information and Communication Technology, SoICT 2016. vol. 08-09-December-2016, Association for Computing Machinery, pp. 352-359, 7th Symposium on Information and Communication Technology, SoICT 2016, Ho Chi Minh, Viet Nam, 16/12/8. https://doi.org/10.1145/3011077.3011085
    Suzuki H, Hishiyama R. An analysis of expert knowledge transmission using machine translation services. In Proceedings of the 7th Symposium on Information and Communication Technology, SoICT 2016. Vol. 08-09-December-2016. Association for Computing Machinery. 2016. p. 352-359 https://doi.org/10.1145/3011077.3011085
    Suzuki, Hiroshi ; Hishiyama, Reiko. / An analysis of expert knowledge transmission using machine translation services. Proceedings of the 7th Symposium on Information and Communication Technology, SoICT 2016. Vol. 08-09-December-2016 Association for Computing Machinery, 2016. pp. 352-359
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